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采用事件发生时间结局的汇总数据荟萃分析。

Aggregate data meta-analysis with time-to-event outcomes.

作者信息

Williamson Paula R, Smith Catrin Tudur, Hutton Jane L, Marson Anthony G

机构信息

Department of Mathematical Sciences, University of Liverpool, UK.

出版信息

Stat Med. 2002 Nov 30;21(22):3337-51. doi: 10.1002/sim.1303.

Abstract

In a meta-analysis of randomized controlled trials with time-to-event outcomes, an aggregate data approach may be required for some or all included studies. Variation in the reporting of survival analyses in journals suggests that no single method for extracting the log(hazard ratio) estimate will suffice. Methods are described which improve upon a previously proposed method for estimating the log(HR) from survival curves. These methods extend to life-tables. In the situation where the treatment effect varies over time and the trials in the meta-analysis have different lengths of follow-up, heterogeneity may be evident. In order to assess whether the hazard ratio changes with time, several tests are proposed and compared. A cohort study comparing life expectancy of males and females with cerebral palsy and a systematic review of five trials comparing two anti-epileptic drugs, carbamazepine and sodium valproate, are used for illustration.

摘要

在一项针对具有事件发生时间结局的随机对照试验的荟萃分析中,对于部分或所有纳入研究可能需要采用汇总数据方法。期刊中生存分析报告的差异表明,没有单一的方法可用于提取对数风险比估计值。本文描述了一些方法,这些方法改进了先前提出的从生存曲线估计对数风险比的方法。这些方法可扩展到生命表。在治疗效果随时间变化且荟萃分析中的试验随访时间不同的情况下,异质性可能很明显。为了评估风险比是否随时间变化,提出并比较了几种检验方法。一项比较脑瘫男性和女性预期寿命的队列研究以及一项对五项比较两种抗癫痫药物(卡马西平和丙戊酸钠)的试验的系统评价用于说明。

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